Brian H Li

Address:

3909 W Edgewater Dr, Fayetteville, AR 72704

VIN:

4M2EU37E37UJ13399

Make:

MERCURY

Model:

MOUNTAINEER

Year:

2007

US Patent:

20200065354, Feb 27, 2020

Filed:

Oct 31, 2019

Appl. No.:

16/670058

Inventors:

- San Mateo CA, US
Neehar Giri - Saratoga CA, US
Man Chan - San Jose CA, US
Isabelle Chai - San Mateo CA, US
Rahul Choudhry - Sunnyvale CA, US
Kitae Kim - London, GB
Stanley Poon - Los Altos CA, US
Brian Li - Fremont CA, US
Geeta Deodhar - Foster City CA, US
Elliott Yama - Danville CA, US

International Classification:

G06F 17/18
G06F 17/17
G06Q 30/02
G06F 16/435

Abstract:

The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.

US Patent:

20180349324, Dec 6, 2018

Filed:

Jun 6, 2017

Appl. No.:

15/615091

Inventors:

- San Mateo CA, US
Neehar Giri - Saratoga CA, US
Man Chan - San Jose CA, US
Isabelle Chai - San Mateo CA, US
Rahul Choudhry - Sunnyvale CA, US
Kitae Kim - London, GB
Stanley Poon - Los Altos CA, US
Brian Li - Fremont CA, US
Geeta Deodhar - Foster City CA, US
Elliott Yama - Danville CA, US

International Classification:

G06F 17/18
G06F 17/17
G06Q 30/02
G06F 17/30

Abstract:

The present disclosure describes a system, method, and computer program for real-time and computationally efficient calculation of a recommended value range for a quote variable, such as price, discount, volume, or closing time. The system uses the highest-density interval (HDI) of probability density function (PDF) as a recommended or suggested value range for a quote variable. PDFs for the quote variable are precomputed for groups of related inputs, and each PDF is summarized as an array of discrete points. A dimension reduction technique is applied to the PDF inputs in both the training and real-time (non-training) phases to reduce the number of possible combinations of PDFs. During a quote-creation process, a PDF look-up table enables the system to efficiently identify an applicable PDF from the group of precomputed PDFs based on reduced input values.